Analisa Penyebab Penurunan Daya Saing Produk Susu Sapi Dalam Negeri Terhadap Susu Sapi Impor Pada Industri Pengolahan Susu (IPS) Dengan Metode Fault Tree Analysis (Fta) Dan Barrier Analysis

Produk peternakan sapi perah Indonesia dituntut untuk dapat bersaing ketat dengan produk negara lain, bukan untuk bersaing pada pasar Internasional tapi justru pasar dalam negeri Indonesia. Namun kondisi yang ada pada saat ini, produk susu perah lokal kuantitasnya tidak mampu mencukupi permintaan Industri Pengolahan Susu (IPS), kualitas tidak memenuhi standard milk codex, dan harga lebih tinggi dari susu impor, membuat peternak lokal kalah bersaing dengan negara-negara pengekspor susu dunia. IPS di Indonesia lebih memilih menggunakan susu impor dengan kualitas lebih baik dan harga lebih murah dari susu lokal. Mengingat kondisi geografi dan ekologis di Indonesia sebenarnya cocok untuk pengembangan peternakan sapi perah (agribisnis persusuan) serta besarnya permintaan susu dalam negeri, sebenarnya peternakan sapi perah Indonesia dapat lebih kompetitif. Oleh karena itu penting untuk dilakukan analisa mengidentifikasi akar penyebab masalah dari rendahnya daya saing susu sapi Indonesia terhadap susu sapi impor pada IPS. Analisa yang digunakan adalah analisa dengan metode Fault Tree Analysis (FTA) untuk mengetahui akar penyebab terjadinya suatu permasalahan. Sedangkan Barrier Analysis adalah proses sistematik yang digunakan untuk mengidentifikasi hambatan fisik, administrasi dan prosedur atau mengontrol tindakan pencegahan masalah yang dapat mencegah masalah terjadi kembali. Hasil analisa menunjukkan permasalahan utama lebih dominan disebabkan oleh faktor intern peternakan sendiri. Dari penelusuran akar penyebab permasalahan, dibuat troubleshooting yang berisi petunjuk pemecahan masalah jika permasalahan tersebut terjadi kembali baik troubleshooting permasalahan produktifitas, kuantitas, harga susu segar lokal yang tidak kompetitif terhadap susu segar impor dan rekomendasi tindakan perbaikan yang meliputi aspek man, methode, material, machine, mother nature, dan maintenance. Kata-kunci : daya saing, analisa pohon keputusan, barrier analysis, troubleshooting Indonesian dairy products are required to compete with products of other countries, not to compete on International markets but that the Indonesian domestic market. But the conditions that exist at this ndtime, local dairy milk products are not able to meet the demand quantity Milk Processing Industries (IPS), quality does not meet the standard codex milk, and milk prices are higher than imports, making local farmers unable to compete with dairy-exporting countries world. IPS in Indonesia prefer to use imported milk with better quality and cheaper prices than local milk. Given the geograph and ecology of the land in Indonesia was suitable for the development of dairy cattle (dairy agribusiness) and the huge domestic demand for milk, dairy cattle Indonesia actually can be more competitive. It is therefore important to do an analysis to identify the root cause of the problem of low competitiveness of Indonesian cow\u27s milk to cow\u27s milk imports in the IPS. The analysis method used was analysis by Fault Tree Analysis (FTA) to determine the root cause of a problem. While Barrier Analysis is a systematic process used to identify physical barriers, administrative and control procedures or precautionary measures to prevent the problems that the problem occurs again. Results of analysis showed the main problem is more dominant livestock affected by internal factors alone. By studying the root causes of problems, made ​​troubleshooting that contains troubleshooting tips for when problems occur again either troubleshooting the problems of productivity, quantity, price of local fresh milk which is not competitive against imports of fresh milk and recommend remedial action that includes aspects of man, method, material, machine , mother nature, and maintenance

New syntaxon names for the Italian Quercus cerris woods

Based on the results of a previous nomenclatural revision of the Italian Quercus cerris forests, 31 syntaxon names are here validated or described as new and 5 lectotypes are designated

A revised phytosociological nomenclature for the Italian Quercus cerris woods

This paper aims to revise the phytosociological nomenclature of the Quercus cerris woods occurring in Italy with particular attention to associations, subassociations, and suballiances. The syntaxa included in this revision were selected based on a physiognomical criterion, i.e., woods with dominance or codominance of Quercus cerris. The nomenclatural revision complied with the International Code of Phytosociological Nomenclature. Correct names and Authors' citations were considered for all the syntaxa analyzed (121), and, in most cases, other information about nomenclatural types, localities, synonyms, classification, and other notes was reported. As regards the alliance level, the correct application of the name Melittio albidae-Quercion frainetto ―whose original diagnosis and type-association occur in Italy― was discussed. In all, 31 syntaxon names were validated or described: two suballiances (Campanulo medii-Ostryenion carpinifoliae and Pulmonario apenninae-Carpinenion betuli), nine associations and 20 subassociations. Five lectotypes were also designated

cfd three dimensional wake analysis in complex terrain

Even if wind energy technology is nowadays fully developed, the use of wind energy in very complex terrain is still challenging. In particular, it is challenging to characterize the combination effects of wind ow over complex terrain and wake interactions between nearby turbines and this has a practical relevance too, for the perspective of mitigating anomalous vibrations and loads as well improving the farm efficiency. In this work, a very complex terrain site has been analyzed through a Reynolds-averaged CFD (Computational Fluid Dynamics) numerical wind field model; in the simulation the inuence of wakes has been included through the Actuator Disk (AD) approach. In particular, the upstream turbine of a cluster of 4 wind turbines having 2.3 MW of rated power is studied. The objective of this study is investigating the full three-dimensional wind field and the impact of three-dimensionality on the evolution of the waked area between nearby turbines. A post-processing method of the output of the CFD simulation is developed and this allows to estimate the wake lateral deviation and the wake width. The reliability of the numerical approach is inspired by and crosschecked through the analysis of the operational SCADA (Supervisory Control and Data Acquisition) data of the cluster of interest

THE ROLE OF BROCA’S AREA IN SYNTAX: A TMS STUDY ON WRITTEN GREEK LANGUAGE

A number of recent papers have addressed the potential of transcranial magnetic stimulation (TMS) to interfere with linguistic processes or speech production. In this paper we present an experiment with TMS to clarify the role of Broca’s area in syntactic processing. An experimental paradigm contrasted sentences that require syntactic and semantic decisions on written Greek language. We found a clue of selective priming effects on syntactic decisions but not on semantic decisions. Our results provide evidence of the involvement of Broca’s area in syntax

Improved properties of TiAlN coatings through the multilayer structure

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Overcoming barriers towards Sustainable Product-Service Systems in Small and Medium-sized enterprises: State of the art and a novel Decision Matrix

The Sustainable Product-Service Systems are a promising approach based on a Triple Bottom Line perspective of the sustainability. However, its practical and effective adoption is still very limited and addresses significant barriers for the manufacturing firms. Furthermore, this emergent topic has been discussed by literature mainly in large company's context, turning in a very limited and immature stage the current body of knowledge for the Small and Medium-sized Enterprises (SMEs). Thus, considering the significance of small companies to the global economy and their intrinsic difficulties, the purpose of this study was to identify the main barriers involving the transition towards Sustainable Product-Service Systems in manufacturing Small and Medium-sized Enterprises as well as the strategies to overcome them. A systematic literature review of the past two decades was organized capturing the state of the art of the area. Findings reveal that internal barriers associated with intrinsic characteristics of SMEs become still more sensitive during the transition (e.g., limited financial resources, the lack of competences, follower mentality and resistance to change). As well as, barriers related with the novelty of Sustainable Product-Service Systems models require new attitudes to small companies (e.g., changing mindsets from product ownership to use, replacing the value of exchange by value in use involving long-term relations, understanding the Product-Service Systems concept) and particularly highlight the lack of models/methods supporting this transition. The practical contribution of this study is in organise a comprehensive body of knowledge on strategies to overcome barriers towards Sustainable Product-Service offering. Moreover, an innovative decision matrix supporting decision-makers during the Sustainable Product-Service System development was proposed from the literature review findings. (C) 2019 Elsevier Ltd. All rights reserved

Drivers for optimum sizing of wind turbines for offshore wind farms

Large-scale exploitation of offshore wind energy is deemed essential to provide its expected share to electricity needs of the future. To achieve the same, turbine and farm-level optimizations play a significant role. Over the past few years, the growth in the size of turbines has massively contributed to the reduction in costs. However, growing turbine sizes come with challenges in rotor design, turbine installation, supply chain, etc. It is, therefore, important to understand how to size wind turbines when minimizing the levelized cost of electricity (LCoE) of an offshore wind farm. Hence, this study looks at how the rated power and rotor diameter of a turbine affect various turbine and farm-level metrics and uses this information in order to identify the key design drivers and how their impact changes with setup. A multi-disciplinary design optimization and analysis (MDAO) framework is used to perform the analysis. The framework uses low-fidelity models that capture the core dependencies of the outputs on the design variables while also including the trade-offs between various disciplines of the offshore wind farm. The framework is used, not to estimate the LCoE or the optimum turbine size accurately, but to provide insights into various design drivers and trends. A baseline case, for a typical setup in the North Sea, is defined where LCoE is minimized for a given farm power and area constraint with the International Energy Agency 15 MW reference turbine as a starting point. It is found that the global optimum design, for this baseline case, is a turbine with a rated power of 16 MW and a rotor diameter of 236 m. This is already close to the state-of-the-art designs observed in the industry and close enough to the starting design to justify the applied scaling. A sensitivity study is also performed that identifies the design drivers and quantifies the impact of model uncertainties, technology/cost developments, varying farm design conditions, and different farm constraints on the optimum turbine design. To give an example, certain scenarios, like a change in the wind regime or the removal of farm power constraint, result in a significant shift in the scale of the optimum design and/or the specific power of the optimum design. Redesigning the turbine for these scenarios is found to result in an LCoE benefit of the order of 1 %–2 % over the already optimized baseline. The work presented shows how a simplified approach can be applied to a complex turbine sizing problem, which can also be extended to metrics beyond LCoE. It also gives insights into designers, project developers, and policy makers as to how their decision may impact the optimum turbine scale.</p